Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates

BackgroundCognitive impairment (CI) is common in multiple sclerosis (MS) yet poorly captured by conventional disability scales. Although neuropsychological assessment and magnetic resonance imaging (MRI) are routinely used separately, there is no simple clinically applicable framework integrating co...

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Detalhes bibliográficos

Principais autores:	Patrycja Romaniszyn-Kania, Weronika Galus, Julia Wyszomirska, Katarzyna Zawiślak-Fornagiel, Oskar Bożek, Daniel Ledwoń, Damian Kania, Aleksandra Tuszy, Joanna Siuda, Andrzej W. Mitas
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-07-01
coleção:	Frontiers in Neuroscience
Assuntos:	cognitive impairment cognitive profile modeling machine learning multiple sclerosis neurodegenerative diseases
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnins.2026.1878685/full
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